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PhD project, the successful candidate will develop an open-source workflow using deep learning and hierarchical statistical models to streamline the data flow from acoustic recorders to ecological
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of statistical analysis is required. Strong programming skills in Python, R and Linux-based software or similar languages and experience with modern machine learning and deep learning frameworks parallel computing
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at the intersection of AI and advanced electron microscopy. The project focuses on developing novel self-supervised and physics-informed deep learning methods to restore and denoise Transmission
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opportunity to develop deep expertise in robotics, machine learning, and control. WASP is a major national initiative for strategically motivated basic research, education and faculty recruitment. It is by far
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experience in deep learning and generative AI is considered an advantage. Undergraduate research experience is a merit, but not a requirement. Motivate in your personal letter why you are interested in
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look forward to receiving your application! We are looking for up to two PhD students in trustworthy machine learning, with a particular focus on cybersecurity, privacy, and verifiability for AI systems
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Experience and courses in one or more subjects are valued: machine learning, optimisation, linear algebra, deep learning, programming, dynamical systems. Rules governing PhD students are set out in the Higher
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assessment criteria: Knowledge in energy technology, large language models (LLMs), deep learning, and Python programming. Meritorious qualifications include knowledge in power engineering, power electronics
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look forward to receiving your application! We are looking for a PhD student in AI and machine learning with a focus on generative machine learning methods for cyber security applications. Your work
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/organisation/liu/isy/elda . To learn more about the Department of Electrical Engineering, see: https://liu.se/en/article/open-positions-at-isy . The employment When taking up the post, you will be admitted